November NAC

Div I Women's Épée

Monday, November 17, 2025 at 8:00 AM

Fort Worth Convention Center - Fort Worth, TX, USA

Probability density of pool victories

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Explore the pool victory probability density for each fencer, with their actual victories highlighted in a box. Learn more.

# Name Number of victories
0 1 2 3 4 5 6
1 HUSISIAN Hadley N. - - - 2% 15% 45% 38%
2 VAN BRUMMEN Anna C. - - - - 1% 17% 82%
3 YIN Julia - - 1% 8% 36% 56%
3 CHEN Lefu - - 1% 11% 37% 39% 12%
5 VIVEROS Montserrat - - - - 1% 33% 65%
6 CHIN Isabella - - - 4% 19% 44% 33%
7 KORFONTA Jolie - - 3% 16% 41% 40%
8 YANG Alisa - 1% 6% 24% 43% 26%
9 SEBASTIAN Felicity A. - 5% 24% 40% 26% 4%
10 XUAN Nicole J. - - - 4% 20% 48% 28%
10 TOLSMA Chloe (CJ) - 1% 7% 24% 38% 25% 6%
12 YAO Melinda - - 1% 10% 35% 48% 6%
13 RAUSCH Ariana (Ari) M. - - 1% 5% 20% 41% 33%
14 KIM Nakyeong - 6% 23% 36% 26% 8% 1%
15 SEREGIN Katya 1% 6% 23% 37% 26% 7% 1%
17 OXENREIDER Tierna A. - - - - 5% 65% 30%
18 PARK Habeen - - 4% 20% 47% 29%
19 LEE REGINA - - - 1% 10% 37% 52%
20 DING Jiahe (Heidi) - - - 1% 16% 64% 19%
20 GAAFAR Rodaina - 2% 13% 37% 40% 8%
22 KETKAR Ketki - - - - 1% 17% 82%
23 NIXON Catherine (Kasia) D. - - - - 1% 27% 72%
24 CHI Chelsea - 1% 8% 23% 35% 26% 7%
25 ZHANG Victoria R. - - 1% 10% 31% 41% 16%
26 PIRKOWSKI Amanda L. - 1% 6% 26% 43% 23%
27 ILYAS Ayah 1% 8% 23% 33% 24% 9% 1%
28 BEI Karen - - - 2% 19% 45% 34%
29 GOH Cayla 2% 17% 37% 32% 11% 1%
30 SWENSON Nikita G. - 1% 12% 39% 41% 7%
31 SOBUS Yanka 4% 23% 39% 27% 6% -
32 WANG Karen - 1% 10% 29% 36% 20% 4%
33 CANDREVA Greta H. - - 1% 6% 25% 46% 22%
34 KHAMIS Yasmine A. - - - 3% 28% 69%
35 BIDA Violetta - - 1% 7% 26% 42% 23%
36 ELSTON Sophia 1% 7% 29% 41% 20% 3%
37 LEE Scarlett - - 3% 16% 38% 33% 9%
38 SPRINGER Sierra - - 1% 6% 22% 42% 30%
39 LI Caroline 6% 24% 35% 25% 9% 1% -
40 LISCUM Vivian 1% 10% 31% 37% 18% 3%
40 WANG Zoe - - 4% 24% 54% 18%
42 JIANG Serena 4% 20% 37% 29% 9% 1%
43 ABUELFUTUH Sama - 5% 24% 45% 24% 2%
44 CAMPBELL Eva - 1% 8% 25% 36% 24% 5%
45 ZIGALO Elizabeth - - 1% 9% 35% 41% 14%
46 WANG Chloe 7% 28% 39% 21% 4% - -
47 TOBY Natalia R. - - - 5% 32% 63%
48 QI Julieanne 3% 17% 32% 30% 14% 3% -
49 LEE Michelle J. - - - 3% 17% 43% 38%
50 XU Serena 4% 21% 37% 28% 8% 1% -
51 POTAPENKO Margarita D. - 3% 15% 32% 32% 14% 2%
52 LEE Claire - 7% 28% 37% 22% 5% -
53 YANG Hanting(Catherine) 1% 11% 30% 37% 19% 3% -
54 NIXON Caroline (Karolina) L. - - 1% 6% 27% 48% 18%
55 HERNASA Anna 3% 16% 33% 31% 14% 3% -
57 HUREL Bertille 1% 7% 28% 39% 22% 3%
58 OLELE Ifechi 17% 39% 32% 11% 2% -
59 GAJJALA Sharika R. - - - 5% 35% 60%
60 CAFASSO Natalya - 1% 4% 16% 33% 33% 13%
61 SMUK Alexandra S. - 4% 17% 32% 30% 14% 2%
62 SONG Sehee - 2% 9% 26% 35% 23% 6%
63 NEMETH Katherine - 4% 17% 36% 33% 9% 1%
64 SHEFFIELD Lake Mawu - - 1% 11% 40% 47%
65 LEE Natasha - - 2% 12% 32% 38% 15%
66 KOZLOWSKI Maya M. - - 3% 14% 33% 35% 14%
67 WITTER Catherine A. - 1% 11% 35% 40% 12%
68 HANKINS Morgan - 2% 11% 27% 35% 21% 4%
69 BEZUGLAYA Varvara - 6% 22% 36% 26% 9% 1%
70 YILMAZ Pinar - 2% 10% 25% 34% 23% 6%
71 FERREIRA DE MELO Adriana - 4% 15% 30% 31% 16% 3%
72 MACHULSKY Leehi - 1% 6% 21% 36% 29% 8%
73 RAKHOVSKI Alexandra - - 1% 5% 21% 41% 32%
74 ROH Seungkyoung 1% 8% 22% 32% 25% 10% 2%
75 YOUNG VIVIAN - 1% 5% 20% 38% 29% 7%
76 MOHAN Riya 10% 34% 37% 16% 3% - -
77 MARTINEZ Christina 8% 28% 36% 21% 6% 1% -
78 STOJAKOVIC Lola 5% 33% 39% 19% 4% - -
79 GANSER Nicole 6% 22% 34% 26% 10% 2% -
80 XU Yvette - 1% 7% 27% 41% 23% 1%
81 JOYCE Michaela - - 1% 7% 25% 41% 25%
82 FRANGER Macy 1% 11% 36% 38% 13% 1%
83 RICHARDSON Meredith 3% 16% 35% 32% 12% 2% -
84 MENG YIFAN 8% 28% 35% 21% 7% 1% -
85 KIM Daye 1% 8% 27% 37% 22% 5%
86 SHEFFIELD Skye 10% 38% 36% 14% 2% -
87 LIN Jessica Y. - - 1% 8% 36% 55%
88 BASRALIAN Azniv 11% 38% 37% 13% 2% -
89 CHISHOLM Phoebe C. - 4% 17% 35% 33% 11%
89 XU Sunia (Tai Yang) 11% 40% 35% 12% 2% -
91 GEVA Eliana 2% 14% 37% 35% 11% 1% -
92 WU Michelle - 5% 23% 40% 28% 4% -
93 XIAO Nancy 2% 14% 30% 32% 17% 5% -
94 SONG Angela - 3% 12% 29% 35% 18% 3%
95 FALLON Kyle R. - - - 5% 21% 42% 32%
96 STERR Isabella M. - 4% 15% 32% 33% 14% 2%
97 KUDRYAVTSEVA Margarita 7% 31% 40% 19% 3% -
98 KIM Zoe L. - - 1% 10% 30% 40% 19%
99 PRESMAN Aerin 1% 8% 27% 37% 22% 4% -
100 MARX Leslie M. - - - 1% 12% 46% 40%
101 PECK Maia A. - 3% 14% 30% 32% 17% 4%
102 AI Amy 1% 9% 30% 38% 20% 4% -
102 LI Alice 23% 43% 26% 7% 1% - -
104 KETKAR Mallika - 1% 8% 27% 37% 22% 4%
105 NGUYEN Audrey - 3% 19% 42% 33% 2% -
106 DAMRATOSKI Anna Z. - - 3% 17% 38% 33% 8%
106 CHEN Zhengnan(Janet) - 3% 14% 34% 35% 12% 1%
108 FURMAN Maria - 2% 11% 31% 38% 17% 1%
109 MENDOZA zoie 4% 19% 33% 28% 13% 3% -
110 WELLS Tesla M. - 2% 16% 35% 32% 13% 2%
111 WAT Chok Weng 1% 11% 31% 36% 17% 3% -
111 HAN Dahyun 1% 7% 23% 35% 25% 7% 1%
113 DHAIYA Tanya 6% 29% 41% 20% 4% - -
114 MATZ Samantha J. 9% 30% 36% 19% 4% - -
115 WANG Ziqi (yoyo) - 6% 26% 42% 23% 3%
116 SUICO Kyubi Emmanuelle 5% 27% 43% 21% 4% -
117 LI Fei - 5% 23% 39% 27% 6%
118 KROTZ Gemma 48% 40% 11% 1% - -
119 KONG Mila W. 29% 44% 22% 4% - -
120 JEYOON Lauren 47% 40% 12% 1% - -
121 CARRIER Meredith 2% 18% 41% 31% 8% -
122 HEPLER Sarah 2% 11% 28% 34% 20% 5% -
123 AZMEH nour - 1% 5% 18% 35% 31% 10%
124 PADHYE Tanishka 4% 21% 38% 28% 9% 1% -
125 KLIMENKO Anna - 3% 15% 33% 33% 14% 2%
126 MOLLINIER Angel 4% 20% 37% 29% 10% 1% -
127 DOROSHKEVICH Victoria - 3% 17% 39% 35% 7%
127 IYER Ishana 3% 16% 32% 30% 15% 3% -
129 MA Sophie 2% 15% 34% 32% 14% 3% -
130 NOVOJILOV Anastasia 4% 24% 41% 25% 5% - -
131 BUSH emma 1% 10% 26% 33% 22% 7% 1%
132 SUN Hanya 2% 11% 27% 33% 21% 6% 1%
132 ZHUANG Lauren 6% 27% 39% 22% 5% - -
134 VASYAKIN Liana 10% 30% 34% 19% 6% 1% -
135 BURICEA Ada 20% 41% 29% 9% 1% - -
136 WU Jessica 2% 14% 38% 37% 9% 1%
137 PETROFF Eva 17% 42% 32% 9% 1% -
138 MERRIMAN Rie 16% 38% 32% 12% 2% -
139 ANEZIOKORO Zahra 6% 28% 42% 21% 3% -
140 BALAKRISHNAN Trisha 33% 43% 20% 4% - -
141 PRIHODKO Nina - 4% 18% 37% 31% 9% -
142 MONTOYA Kimberlee C. - 2% 11% 28% 34% 20% 4%
143 BEAVER Ava 2% 18% 40% 30% 8% 1%
144 BALAZS Luca 11% 33% 36% 16% 3% - -
145 SUN Karolyn 13% 34% 33% 16% 4% - -
146 LIU Chloe 67% 28% 4% - - -
147 SHIV Avni - 5% 22% 38% 27% 8% 1%
147 WANG Chantal 19% 40% 30% 10% 1% - -
149 KROPP Anne (Charlie) 8% 28% 36% 21% 6% 1% -
149 KAUR Manroop 6% 30% 41% 20% 4% -
149 BRAGG Leah 13% 34% 34% 15% 3% - -
152 NORRIS Morgan 37% 43% 17% 3% - - -
153 HU Constance 19% 38% 29% 11% 2% - -
154 HUANG Selina 52% 39% 8% 1% - - -
155 LEE Gloria Y. 1% 10% 32% 41% 16% - -
156 MCQUEEN Morgan 10% 36% 38% 15% 2% - -
157 GAO Judy - 2% 12% 29% 35% 18% 3%
158 MAI Mailan 9% 30% 37% 19% 5% - -
159 LEE Camilla 3% 15% 30% 31% 16% 4% -
160 GAN Shelby 34% 43% 19% 4% - - -
161 WATTANAKIT Anda 31% 43% 21% 5% - - -
163 BECKMAN Ana - 1% 7% 21% 34% 28% 9%
164 PROFIS Liora - 1% 8% 28% 42% 21%
165 EDWARDS Auprell 1% 13% 35% 36% 14% 1%
166 DUNLAP-SMITH Azaline I. - 1% 8% 31% 42% 18%
167 WADE-CURRIE Ava S. 1% 8% 30% 40% 19% 2%
168 BOURDEAU Emily B. 1% 11% 33% 37% 16% 2%
168 LAW Mila 59% 33% 7% 1% - -
170 CAVNAR Peyton 3% 19% 37% 30% 10% 1%
171 BOROTKO Katerina 22% 46% 27% 5% - -
172 CAMAMA Tessa 3% 21% 39% 28% 9% 1%
173 FENG Iris 32% 46% 20% 3% - -
174 SUN Zeyu (Cathy) 4% 21% 38% 27% 8% 1% -
175 SHAYAKHMETOVA Suzanna 20% 40% 29% 9% 1% - -
176 MYRAH Vivienne 10% 32% 35% 18% 4% - -
177 HAUSHEER Kuncen 5% 32% 41% 19% 3% -
178 NGUYEN Ella 13% 33% 33% 16% 4% 1% -
179 BEATIE Isabella M. 16% 39% 32% 11% 2% - -
180 SMUK Daria A. 11% 35% 36% 16% 3% - -
181 MILEWSKI Nicole - 7% 26% 36% 23% 7% 1%
182 WANG Sophie Y. 2% 13% 29% 32% 19% 5% -
183 WONG Caitlin 8% 29% 37% 21% 5% - -
184 LOBANOVA Varvara 19% 38% 29% 11% 2% - -
185 ELTERMAN Kate 18% 38% 31% 11% 2% - -
186 CHI Zoe 10% 37% 37% 13% 2% - -
187 ZHAN Clare 47% 40% 11% 1% - -
188 WANG Cecilia 67% 28% 4% - - - -
189 HOAGLAND Sally 20% 40% 29% 10% 1% - -
189 TAM Connie 13% 35% 34% 15% 3% - -
191 LI Olivia 2% 13% 35% 36% 14% 1% -
192 SU Evelyn 6% 28% 41% 21% 3% - -
193 DESANTIS-IBANEZ Elena 17% 47% 28% 7% 1% - -
194 KUTSY Olga 43% 42% 14% 2% - - -
195 NING Miranda 13% 42% 34% 10% 1% -
196 XU Jessica 16% 36% 31% 13% 3% - -
197 KALGAONKAR Arohi 5% 26% 39% 24% 5% - -
198 SCHMITT Harper 4% 19% 35% 29% 12% 2% -
199 MISHIMA Audrey 11% 30% 34% 19% 6% 1% -
199 SUN Nicole 35% 43% 18% 3% - - -
201 YAN Wing Yu 1% 10% 32% 37% 17% 3% -
202 BISONO Valentina 54% 37% 8% 1% - - -
203 LOZIER Grace 44% 40% 13% 2% - -

Explanation

The heatmap in this table provides a visual representation of the victory probability distribution for each fencer in their respective pools:

This heatmap visualization offers an immediate understanding of each fencer's expected performance compared to their actual results.